Perceiving Systems, Computer Vision

A physically-based approach to reflection separation

2012

Conference Paper

ps


We propose a physically-based approach to separate reflection using multiple polarized images with a background scene captured behind glass. The input consists of three polarized images, each captured from the same view point but with a different polarizer angle separated by 45 degrees. The output is the high-quality separation of the reflection and background layers from each of the input images. A main technical challenge for this problem is that the mixing coefficient for the reflection and background layers depends on the angle of incidence and the orientation of the plane of incidence, which are spatially-varying over the pixels of an image. Exploiting physical properties of polarization for a double-surfaced glass medium, we propose an algorithm which automatically finds the optimal separation of the reflection and background layers. Thorough experiments, we demonstrate that our approach can generate superior results to those of previous methods.

Author(s): Kong, Naejin and Tai, Yu-Wing and Shin, Sung Yong
Book Title: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Pages: 9--16
Year: 2012
Month: June

Department(s): Perceiving Systems
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

Links: Publisher site

BibTex

@inproceedings{kong12cvpr,
  title = {A physically-based approach to reflection separation},
  author = {Kong, Naejin and Tai, Yu-Wing and Shin, Sung Yong},
  booktitle = {Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {9--16},
  month = jun,
  year = {2012},
  doi = {},
  month_numeric = {6}
}